numpy.hypot(x1, x2[, out]) =
Given the “legs” of a right triangle, return its hypotenuse.
Equivalent to sqrt(x1**2 + x2**2)
, element-wise. If x1
or x2
is scalar_like (i.e., unambiguously cast-able to a scalar type), it is broadcast for use with each element of the other argument. (See Examples)
Parameters: |
x1, x2 : array_like Leg of the triangle(s). out : ndarray, optional Array into which the output is placed. Its type is preserved and it must be of the right shape to hold the output. See doc.ufuncs. |
---|---|
Returns: |
z : ndarray The hypotenuse of the triangle(s). |
>>> np.hypot(3*np.ones((3, 3)), 4*np.ones((3, 3))) array([[ 5., 5., 5.], [ 5., 5., 5.], [ 5., 5., 5.]])
Example showing broadcast of scalar_like argument:
>>> np.hypot(3*np.ones((3, 3)), [4]) array([[ 5., 5., 5.], [ 5., 5., 5.], [ 5., 5., 5.]])
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https://docs.scipy.org/doc/numpy-1.10.1/reference/generated/numpy.hypot.html